Sarvaiya H.K.,SVNIT |
International Journal of Civil Engineering and Technology | Year: 2017
There is tremendous effort required to treat the soft soil for laying foundation over it. In recent era researchers found little success to treat such a heterogeneous soft soil. The Geosynthetically encased stone column for improving such soft soil is now proven to be most effective one. Many researchers worked and proven the effectiveness of this method. Plenty of researchers worked on soft soil improvement using Geosynthetically encased stone column. Most of the research work done on unit cell idealization basis and the stone column rested over rigid bottom base of unit cell. However it is not necessary to have firm layer always available during actual field condition. So the present research work is all about treating the soft soil with Geosynthetically reinforced floating stone column. The bottom of the stone columns is rested over soft soil itself. Four types of Geosynthetic materials are used as an encasement. The load settlement responses were measured to know the effects of types of reinforcement on load settlement behaviour of floating stone column. © IAEME Publication.
Journal of Engineering Design | Year: 2010
This paper presents a methodology for the selection of a best product end-of-life (EOL) scenario using digraph and matrix methods. An 'EOL scenario selection index' is proposed to evaluate and rank the alternative product EOL scenarios. The index is obtained from an 'EOL scenario selection attributes func- tion'obtained from the 'EOL scenario selection attributes digraph'. The digraph is developed considering EOL scenario selection attributes and their relative importance for the considered product. An example is included to illustrate the approach. © 2010 Taylor & Francis.
Bansal P.,SVNIT |
Upadhyay L.,Sachdeva Institute of Technology
Procedia Engineering | Year: 2013
Metal matrix compositions (MMC) have become a leading materials and particles reinforced aluminum MMCs have received considerable attention due to their excellent mechanical properties like high hardness, high tensile strength etc. These materials difficult to machine because of high hardness and abrasive nature of reinforcing elements like alumina particles. In this study, homogenized (2%, 4%, and 6%) by weight of alumina aluminum metal matrix composite materials were fabricated and selected as workpiece for experimental investigations of tool wear, surface roughness and metal removal rate. The titanium nitride coated tungsten carbide tool and uncoated tungsten carbide tools were used at different cutting speeds (265,400,535 rpm), feed rate (0.29, 0.32, 0.35 mm/rev.), and depth of cut (1.0, 1.5, 2.0 mm). The microstructures and mechanical properties of produced composite specimens have been investigated. It has been observed that increase of reinforcement element produced better mechanical properties such as hardness and tensile strength. The turning experiments were planned by taguchi method. The obtained experimental data has been analyzed using signal to noise ratio and ANOVA. The main effects have been discussed and percentage contribution of various process parameters speed, feed, depth of cut and concentration effecting tool wear, surface roughness and metal removal rate have been determined. © 2012 Published by Elsevier Ltd.
Jagtap K.R.,SVNIT |
Lal A.,SVNIT |
Singh B.N.,Indian Institute of Technology Kharagpur
Composite Structures | Year: 2011
This paper presents the stochastic nonlinear free vibration response of elastically supported functionally graded materials (FGMs) plate resting on two parameter Pasternak foundation havingWinkler cubic non-linearity with random system properties subjected to uniform and nonuniform temperature changes with temperature independent (TID) and dependent (TD) material properties. System properties such as material properties of each constituent's material, volume fraction index and foundation parameters are taken as independent random input variables. The basic formulation is based on higher order shear deformation theory (HSDT) with von-Karman nonlinear strains using modified C 0 continuity. A direct iterative based nonlinear finite element method in conjunction with first order perturbation technique (FOPT) developed by last two authors for the composite plate is extended for FGM plate to compute the second order statistics (mean and coefcient of variation) of the nonlinear fundamental frequency. The present outlined approach has been validated with those results available in the literature and inde-pendent Monte Carlo simulation (MCS). © 2011 Elsevier Ltd.
Lal A.,SVNIT |
Singh B.N.,Indian Institute of Technology Kharagpur |
International Journal of Mechanical Sciences | Year: 2011
In the present paper, the effect of random system properties on transverse nonlinear central deflection of laminated composite spherical shell panel subjected to hygro-thermo-mechanical loading is investigated. System properties such as material properties, thermal expansion coefficients, hygro-contraction coefficients, load intensity and lamina plate thickness are taken as independent random variables. The higher order shear deformation theory and von-Karman nonlinear kinematics are used for basic mathematical formulation. The elastic and hygrothermal properties of the composite material, which are considered to be dependent on temperature and moisture concentration, have been obtained based on micromechanical modeling. A direct iterative based C0 nonlinear finite element method combined with mean centered first-order perturbation technique (FOPT) proposed by present authors for the plate is extended for the spherical shell panel subjected to hygro-thermo-mechanical loading. The influences of random system properties with plate geometry, stacking sequences, support conditions, fiber volume fraction and temperature, and moisture distributions on the response of laminated spherical shell panel are examined in detail. The performance of the proposed approach is validated through comparison with those available in the literature and independent Monte Carlo simulation (MCS). © 2011 Elsevier Ltd.
Singh B.N.,Indian Institute of Technology Kharagpur |
International Journal of Pressure Vessels and Piping | Year: 2010
This study deals with the stochastic post-buckling and nonlinear free vibration analysis of a laminated composite plate resting on a two parameters Pasternak foundation with Winkler cubic nonlinearity having uncertain system properties. The system properties are modeled as basic random variables. A C0 nonlinear finite element formulation of the random problem based on higher-order shear deformation theory in the von Karman sense is presented. A direct iterative method in conjunction with a stochastic nonlinear finite element method proposed earlier by the authors is extended to analyze the effect of uncertainty in system properties on the post-buckling and nonlinear free vibration of the composite plates having Winler type of geometric nonlinearity. Mean as well as standard deviation of the responses have been obtained for various combinations of geometric parameters, foundation parameters, stacking sequences and boundary conditions and compared with those available in the literature and Monte Carlo simulation. © 2010 Elsevier Ltd.
Mohanty P.,Indian Institute of Technology Delhi |
Pant K.K.,Indian Institute of Technology Delhi |
Parikh J.,SVNIT |
Sharma D.K.,Indian Institute of Technology Delhi
Fuel Processing Technology | Year: 2011
CuO-CoO-Cr2O3 mixed with MFI Zeolite (Si/Al = 35) prepared by co-precipitation was used for synthesis gas conversion to long chain hydrocarbon fuel. CuO-CoO-Cr2O3 catalyst was prepared by co-precipitation method using citric acid as complexant with physicochemical characterization by BET, TPR, TGA, XRD, H2-chemisorptions, SEM and TEM techniques. The conversion experiments were carried out in a fixed bed reactor, with different temperatures (225-325 °C), gas hourly space velocity (457 to 850 h-1) and pressure (28-38 atm). The key products of the reaction were analyzed by gas chromatography mass spectroscopy (GC-MS). Significantly high yields of liquid aromatic hydrocarbon products were obtained over this catalyst. Higher temperature and pressure favored the CO conversion and formation of these liquid (C5-C15) hydrocarbons. Higher selectivity of C5 + hydrocarbons observed at lower H 2/CO ratio and GHSV of the feed gas. On the other hand high yields of methane resulted, with a decrease in C5+ to C11+ fractions at lower GHSV. Addition of MFI Zeolite (Si/Al = 35) to catalyst CuO-CoO-Cr2O3 resulted a high conversion of CO-hydrogenation, which may be due to its large surface area and small particle size creating more active sites. The homogeneity of various components was also helpful to enhance the synergistic effect of Co promoters. © 2010 Elsevier B.V. All rights reserved.
Shegokar N.L.,SVNIT |
Composite Structures | Year: 2013
This study deals with the stochastic nonlinear bending response of functionally graded materials (FGMs) beam with surface bonded piezoelectric layers subjected to thermoelectromechanical loadings with uncertain material properties. The random material properties FGMs and piezoelectric modeled as basic random variables. The temperature field considered is assumed to be uniform and non-uniform distribution over the plate thickness and electric field is assumed to be the transverse components Ez only. The basic formulation is based on higher order shear deformation theory (HSDT) with von-Karman nonlinear strain kinematic. A direct iterative based C0 nonlinear finite element method combined with first order perturbation technique (FOPT) is used to compute the second order statistics (mean and coefficient of variation) of the nonlinear transverse central deflection. The effects of temperature dependent and independent material properties; slenderness ratios, volume fraction index, boundary conditions, uniform and nonuniform temperature distribution and surface bonded piezoelectric layers acting top and/or bottom of the FGM beam and thermoelectromechanical loadings with random material properties on the nonlinear transverse central deflection have been presented in detail through parametric studies. The results have been validated with independent Monte Carlo simulation and those available in literature. © 2013 Elsevier Ltd.
Nirmal J.,KJSCOE |
Zaveri M.,SVNIT |
Patnaik S.,SVNIT |
Applied Soft Computing Journal | Year: 2014
The objective of voice conversion system is to formulate the mapping function which can transform the source speaker characteristics to that of the target speaker. In this paper, we propose the General Regression Neural Network (GRNN) based model for voice conversion. It is a single pass learning network that makes the training procedure fast and comparatively less time consuming. The proposed system uses the shape of the vocal tract, the shape of the glottal pulse (excitation signal) and long term prosodic features to carry out the voice conversion task. In this paper, the shape of the vocal tract and the shape of source excitation of a particular speaker are represented using Line Spectral Frequencies (LSFs) and Linear Prediction (LP) residual respectively. GRNN is used to obtain the mapping function between the source and target speakers. The direct transformation of the time domain residual using Artificial Neural Network (ANN) causes phase change and generates artifacts in consecutive frames. In order to alleviate it, wavelet packet decomposed coefficients are used to characterize the excitation of the speech signal. The long term prosodic parameters namely, pitch contour (intonation) and the energy profile of the test signal are also modified in relation to that of the target (desired) speaker using the baseline method. The relative performances of the proposed model are compared to voice conversion system based on the state of the art RBF and GMM models using objective and subjective evaluation measures. The evaluation measures show that the proposed GRNN based voice conversion system performs slightly better than the state of the art models. © 2014 Elsevier B.V.
Proceeding of IEEE - 2nd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics, IEEE - AEEICB 2016 | Year: 2016
One of the control strategies of DVR (Dynamic Voltage Restorer) is minimum energy control strategy which is explained in this paper. The main duty of power system is to supply their customers a uninterruptable power supply at all the times, but in practice it is not happening. However, the total power system is the large network which contains different types of loads at the same point of common coupling (PCC) in which some of the loads like sensitive loads (e.g. devices in medical labs), in which voltage sag/swell or unbalances in the supply are highly undesirable. There the need of custom power devices like DVR and some FACTS devices can be seen. The operation of DVR with voltage sag, swell and unbalance is analyzed in this paper. Also THD of supply voltage, supply current and load voltage is analyzed in the case of unbalanced supply is provided to the load for which a constant supply is required. In this paper the working of DVR with minimal energy controls strategy is analyzed by using MATLAB/SIMULNK. © 2016 IEEE.